{"id":"https://openalex.org/W4410359166","doi":"https://doi.org/10.1109/icoin63865.2025.10993161","title":"Deep Learning-Based Mixture-of-Experts Model for Enhanced Network Traffic Classification","display_name":"Deep Learning-Based Mixture-of-Experts Model for Enhanced Network Traffic Classification","publication_year":2025,"publication_date":"2025-01-15","ids":{"openalex":"https://openalex.org/W4410359166","doi":"https://doi.org/10.1109/icoin63865.2025.10993161"},"language":"en","primary_location":{"id":"doi:10.1109/icoin63865.2025.10993161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin63865.2025.10993161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094166264","display_name":"Chandroth Jisi","orcid":"https://orcid.org/0009-0003-3148-9144"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chandroth Jisi","raw_affiliation_strings":["Ajou University,Dept. of AI Convergence Network,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University,Dept. of AI Convergence Network,Suwon,South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065984213","display_name":"Byeong\u2010hee Roh","orcid":"https://orcid.org/0000-0003-2509-4210"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeong-Hee Roh","raw_affiliation_strings":["Ajou University,Dept. of AI Convergence Network,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University,Dept. of AI Convergence Network,Suwon,South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056586306","display_name":"Jehad Ali","orcid":"https://orcid.org/0000-0002-0589-7924"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jehad Ali","raw_affiliation_strings":["Ajou University,Dept. of AI Convergence Network,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University,Dept. of AI Convergence Network,Suwon,South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108769672","display_name":"Maira Khalid","orcid":null},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Maira Khalid","raw_affiliation_strings":["Ajou University,Dept. of AI Convergence Network,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University,Dept. of AI Convergence Network,Suwon,South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114235419","display_name":"Ahmed Raza Mohsin","orcid":"https://orcid.org/0000-0002-1353-1228"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ahmed Raza Mohsin","raw_affiliation_strings":["Ajou University,Dept. of AI Convergence Network,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University,Dept. of AI Convergence Network,Suwon,South Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.8095662593841553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7379288673400879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6529132127761841},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6144276261329651},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5212298631668091},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.09504976868629456},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08037734031677246}],"concepts":[{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.8095662593841553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379288673400879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6529132127761841},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6144276261329651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5212298631668091},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.09504976868629456},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08037734031677246}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin63865.2025.10993161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin63865.2025.10993161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326288","display_name":"K2","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2150884987","https://openalex.org/W2942239200","https://openalex.org/W3109491787","https://openalex.org/W4200469012","https://openalex.org/W4229028710","https://openalex.org/W4392858312","https://openalex.org/W4402742646","https://openalex.org/W4403295158","https://openalex.org/W4404734404"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Traffic":[0],"classification":[1,87,138],"is":[2],"crucial":[3],"for":[4],"various":[5],"aspects":[6],"of":[7,14,33,113],"network":[8,11,48],"management,":[9],"including":[10],"security,":[12],"Quality":[13],"Service":[15],"(QoS),":[16],"and":[17,62,85,104,124,140],"resource":[18],"allocation.":[19],"While":[20],"deep":[21],"learning":[22],"(DL)":[23],"models":[24],"have":[25],"demonstrated":[26],"effectiveness":[27],"in":[28,77],"traffic":[29,137],"classification,":[30],"each":[31,114],"type":[32],"DL":[34,73,97],"model":[35,74,93,135],"captures":[36,65],"different":[37],"feature":[38,79,118,131],"sets,":[39,132],"potentially":[40],"missing":[41],"essential":[42],"information.":[43],"For":[44],"example,":[45],"a":[46,56,71,99,102],"dense":[47,100],"might":[49],"excel":[50],"at":[51],"identifying":[52],"general":[53],"patterns,":[54],"while":[55],"CNN":[57],"focuses":[58],"on":[59,70],"spatial":[60],"features,":[61],"an":[63,91,105],"LSTM":[64],"temporal":[66],"dependencies.":[67],"However,":[68],"relying":[69],"single":[72],"may":[75],"result":[76],"incomplete":[78],"extraction.":[80],"To":[81],"address":[82],"this":[83],"limitation":[84],"enhance":[86],"performance,":[88],"we":[89],"propose":[90],"ensemble":[92,108,134],"that":[94,120],"combines":[95],"three":[96],"architectures:":[98],"network,":[101],"CNN,":[103],"LSTM.":[106],"This":[107],"method":[109],"leverages":[110],"the":[111],"strengths":[112],"model,":[115],"enabling":[116],"comprehensive":[117],"extraction":[119],"incorporates":[121],"spatial,":[122],"temporal,":[123],"generalized":[125],"patterns.":[126],"By":[127],"integrating":[128],"these":[129],"diverse":[130],"our":[133],"improves":[136],"accuracy":[139],"enhances":[141],"overall":[142],"system":[143],"performance.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}